The
Gen IQ Model is a machine learning alternative model to the statistical ordinary least squares and logistic regression models.
Gen IQ lets the data define the model – automatically data mines for new variables, performs variable selection, and then specifies the model equation – so as to optimize the decile table, to fill the upper deciles with as much profit/many responses as possible.
Gen IQ requires no programming, produces models that outdo statistical models, and is a different model: unsuspected equation, ungainly interpretation, and easy implementation.